Estimativa da taxa de mutação de marcadores STRs do cromossomo Y em uma amostra da população brasileira e sua importância no processo de identificação humana.

Abstract

Microsatellite markers are short sequences, repetitive, highly polymorphic and hereditary present in the DNA, which follow the Mendelian pattern of segregation. Due to its haplotype heritage has been used to trace the paternal line to be passed from generation to generation without any changes, except in cases of mutation. The stepwise mutation model is more acceptable to mutation in microsatellite markers, assuming that each mutational event the length of a microsatellite changes by one or a few repeating units due to slippage process, which occurs during replication DNA. This study aimed to estimate the rates of change of microsatellite markers of the Y chromosome in a sample of the population and its implications in human identification process. It is a molecular study, which was conducted at Biocroma Laboratory in partnership with LaGene and Replicon in Goiânia-Goiás. Samples of study were selected from 80 cases of investigation of paternity by DNA analysis, undergo mutation analysis in the Y chromosome haplotypes with molecular amplification system PowerPlex® Y23 System - Promega Corporation. Were identified 15 records of germline mutations in the Y chromosome between alleged parents and children related to suspected samples. The results have identified 9 mutations gain and 6 mutations loss of repetitions numbers. The DYS576 marker had the highest number of reported mutations (20%), followed by DYS570, which identified two mutations (13.33%). The markers DYS389 II, DYS391, DYS481, DYS549, DYS438, DYS439, DYS393, DYS458, DYS385 a - b DYS456 showed only 1 (6.66%) mutation record each. In the other markers, DYS389 I, DYS448, DYS19, DYS533, DYS437, DYS635, DYS390, DYS392, DYS643 and Y-GATA-H4 mutations were not identified in the samples analyzed in this study. Thus the identification of mutations increases the tools that are used in genetic analysis link laboratories and can deliver a more reliable result minimizing potential errors in the analyzes.